IBM Big Data Hub

APRIL 15, 2024

The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. Coupled with search and multi-modal interaction, gen AI makes a great assistant. Contextual data understanding Data systems often cause major problems in manufacturing firms.

Manufacturing 92

Manufacturing Contextual Data Knowledge Discovery Data Lake 92

Cloudera

JUNE 11, 2024

For example, a financial institution can use GenAI to analyze customer interactions across various channels, including emails, chat logs, and call transcripts, to identify patterns and sentiments. As a result, these models enable organizations to unlock new opportunities and gain a 360 degree view of their entire business.

Enterprise 67

Enterprise Unstructured Data Contextual Data Data-driven 67

Cloudera

JUNE 13, 2024

As a result, developers – regardless of their expertise in machine learning – will be able to develop and optimize business-ready large language models (LLMs). They developed smarter processes on the platform by introducing chatbots to take over 10% of customer interactions on their website. But, What Happened to Hadoop?

Big Data 92

Big Data Machine Learning Contextual Data Data Lake 92

Cloudera

DECEMBER 14, 2022

OCBC Bank optimizes customer experience & risk management with multi-phased data initiative. The partnership has enabled OCBC to better store, manage and harness the power of our data.”. We are committed to democratizing AI and transforming our key processes using data.

Data Strategy 81

Data Strategy Strategy IT Contextual Data 81

Sisense

DECEMBER 30, 2019

The two dashboards below were created from the same set of data. The first one contains some poor design choices, while the second is built to optimize readability and preserve insights. All these metrics will help the reader understand the metrics around how users interact with their trial software.

Dashboards 89

Dashboards Visualization Metrics Contextual Data 89

Jet Global

AUGUST 14, 2019

Enterprise businesses cannot survive without robust data warehousing—data silos can rapidly devour money and resources, and any business still trying to make sense and cobble together ‘business intelligence’ from multiple reports and inconsistent data is rapidly going to lose ground to those businesses with integrated data and reporting.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Jet Global

OCTOBER 2, 2019

Enterprise businesses cannot survive without robust data warehousing—data silos can rapidly devour money and resources, and any business still trying to make sense and cobble together ‘business intelligence’ from multiple reports and inconsistent data is rapidly going to lose ground to those businesses with integrated data and reporting.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40